The development of the real estate market is conditioned by a variety of endogenous and exogenous factors. Selected factors determine the local character of the real estate market, whereas others contribute to its classification as one of the main branches of the national economy. Rapid economic growth and the search for new investment opportunities have turned the real estate market into a highly competitive arena where various players carry out diverse investment strategies. Investors search for similarities that would enable them to develop risk minimizing strategies. Ratings are a modern tool that can be deployed in analyses and predictions of real estate market potential. This paper proposes a methodology for developing real estate market ratings, and it identifies the types of information and factors which affect decision-making on real estate markets. The following research hypotheses are formulated and tested in the article: 1) a real estate market can be rated in view of its significance for the local and national economy, 2) real estate market ratings support market participants in the decision-making process.

Recent years have witnessed a growing interest in behavioral trends in both economic theory and practical applications. As a science with vast potential for explaining complex market behaviors, behavioral economics is drifting away from the classical model of homo oeconomicus deployed by mainstream economics. This paper discusses the significance and role of the homo oeconomicus model in light of behavioral economics. It analyzes the direction of changes affecting homo oeconomicus, examines the definition of anomalies within the context of behavioral economics and discusses the anomalous status of homo oeconomicus. The paper proposes a hypothesis that the attitude characterizing homo oeconomicus is unique and incidental. The presented interdisciplinary analysis relies on economics, behavioral economics, economic psychology, behavioral finance and the methodology of science to discuss the homo oeconomicus model. The paper reviews change trends in economics, which are largely propelled by advancements in behavioral economics. The key methodological tools deployed in this paper are theoretical analysis and a compilation of extensive research findings. The results were used to formulate new theories advocating the development of a modern approach to the homo oeconomicus model, recognizing its significance and the growing importance of behavioral economics

The growing significance of the real estate market prompts investors to search for factors and variables which support cohesive analyses of real estate markets, market comparisons based on diverse criteria and determination of market potential. The specificity of the real estate market is determined by the unique attributes of property. The authors assumed that developing real estate market ratings identifies the types of information and factors which affect decision-making on real estate markets. The main objective of real estate market ratings is to create a universal and standardized classification system for evaluating the real estate market. One from the most important problem in this area is collection of appropriate features of real estate market and development dataset. The main problem involves the selection and application of appropriate features, which would be relevant to the specificity of information related to the real estate market and create a kind of coherent system aiding the decision-making process. The main aim of this study is to elaboration set of variables (knowledge platform) that were used to elaborate the real estate market ratings. The results lead to obtain the necessary set of features that constitute essential information which describes the situation on the local real estate market.

The article takes a fresh look at the concept of the "optimal" use of urban land. It discusses the procedure for choosing the "optimal" use of land within the context of rational spatial management practices and sets out a model solution for determining "optimal" land use types for given spatial and functional situations. A necessary set of geoinformation for informed decisions on choosing the "optimal" land use type is proposed. The study adds to the available knowledge concerning spatial analyses and simulations of "optimal" zoning processes; in doing so it applies the characteristic matrix method for inducing the optimal use of an area to diagnose the value of urban space and, in this way, to determine the "optimal" use under given circumstances. The article concludes by stating that the algorithm for selecting the "optimal” land use of an area significantly improves the decision-making process when carrying out the transformation of land use - the most important instrument for planning optimisation and organisation.